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3D terrain data compression using wavelets: Gis based 3D spatial data compression using lifting scheme based second generation wavelets - Softcover
Inhaltsangabe
The most complex GIS data are three dimensional terrain data in GIS applications, for a realistic representation of a terrain, the Digital Elevation Model (DEM) is not suitable for direct use in on-line GIS services due to its large size and inflexibility data structure. Image compression is a key factor to improve transmission speed and storage, but it risks losing relevant terrain information. Very little work has been done till date on the GIS terrain data compression based on second generation wavelets. Second generation wavelet technology provides an efficient compression tool to achieve high compression ratio while maintaining an acceptable fidelity of surface quality. This book presents a new data compression technique using lifting scheme based on second generation wavelets. The lifting scheme has been found to be a flexible method for constructing scalar wavelets with desirable properties. In this book, it is extended to the GIS data compression. A newly developed data compression approach to approximate the terrain surface with a series of non-overlapping triangles has been presented.
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Reseña del editor
The most complex GIS data are three dimensional terrain data in GIS applications, for a realistic representation of a terrain, the Digital Elevation Model (DEM) is not suitable for direct use in on-line GIS services due to its large size and inflexibility data structure. Image compression is a key factor to improve transmission speed and storage, but it risks losing relevant terrain information. Very little work has been done till date on the GIS terrain data compression based on second generation wavelets. Second generation wavelet technology provides an efficient compression tool to achieve high compression ratio while maintaining an acceptable fidelity of surface quality. This book presents a new data compression technique using lifting scheme based on second generation wavelets. The lifting scheme has been found to be a flexible method for constructing scalar wavelets with desirable properties. In this book, it is extended to the GIS data compression. A newly developed data compression approach to approximate the terrain surface with a series of non-overlapping triangles has been presented.
Biografía del autor
Prof. Dr. habil. Biswajeet Pradhan is a recipient of Humboldt research award, DAAD and Saxony Scholarship from Germany. He has published over 80 research papers in referred journals, 5 book chapters and 1 book. He specializes in Remote Sensing, GIS applications, data mining and soft computing techniques in natural hazards and environmental problems
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3D terrain data compression using wavelets
Verlag:
LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3846528285
ISBN 13: 9783846528280
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Taschenbuch. Zustand: Neu. Neuware -The most complex GIS data are three dimensional terrain data in GIS applications, for a realistic representation of a terrain, the Digital Elevation Model (DEM) is not suitable for direct use in on-line GIS services due to its large size and inflexibility data structure. Image compression is a key factor to improve transmission speed and storage, but it risks losing relevant terrain information. Very little work has been done till date on the GIS terrain data compression based on second generation wavelets. Second generation wavelet technology provides an efficient compression tool to achieve high compression ratio while maintaining an acceptable fidelity of surface quality. This book presents a new data compression technique using lifting scheme based on second generation wavelets. The lifting scheme has been found to be a flexible method for constructing scalar wavelets with desirable properties. In this book, it is extended to the GIS data compression. A newly developed data compression approach to approximate the terrain surface with a series of non-overlapping triangles has been presented.Books on Demand GmbH, Überseering 33, 22297 Hamburg 220 pp. Englisch. Artikel-Nr. 9783846528280
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